t.test() with missing values

Hello!

I am using R 2.5.1 on a Apple Power Book G4 with Mac OS X 10.4.10 and  
I am still R beginner.

I try to calculate a t.test() using this code:

	TTest75<-t.test(Fem75, Mal75, alternative= "two.sided", paired= TRUE)

This works properly, but I have two variables with a lot of missing  
data and therefore get the error message:

	TTest66<-t.test(Fem66, Mal66, alternative= "two.sided", paired= TRUE)
	Fehler in var(x) : 'x' ist leer

One of the two vectors looks like this:

[1] 5.0  NA 4.5 6.0 0.8  NA 7.0 4.5  NA  NA  NA  NA 5.0  NA 6.0  NA  
5.0  NA 5.0 8.0  NA  NA  NA 8.0  NA 8.0 5.0  NA  NA  NA  NA 8.0  NA 1.0
[35]  NA  NA  NA  NA  NA  NA 5.0  NA 4.0 8.0  NA 6.0 6.0 4.5 3.5  NA   
NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA
[69]  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA  NA ....
  

Is it possible to run a TTest inspite of all the missing data?
I really need two know if may two vectors are significantly  
different. (If this results are then reliable is an other question)
  

By the way is there a better possibility (and I guess there is) to  
save or export the t.test() results as textfile?

Thanks in advance for your help.

Greetings

Birgit

Birgit Lemcke
Institut f?r Systematische Botanik
Zollikerstrasse 107
CH-8008 Z?rich
Switzerland
Ph: +41 (0)44 634 8351
birgit.lemcke at systbot.uzh.ch






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